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0 1 2 3 4 5

0

5

10

15

1:4

Y

B

D

A

C

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1.0 0.5 0.0 0.5 1.01.0

0.5

0.0

0.5

1.0

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0.5 0.0 0.5 1.0 1.5

0.0

0.2

0.4

0.6

0.8

1.0

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0.0 0.2 0.4 0.6 0.8 1.0

0.6

0.8

1.0

1.2

1.4

x

1

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0.0 0.2 0.4 0.6 0.8 1.0

0.6

0.8

1.0

1.2

1.4

x

1

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0.0 0.2 0.4 0.6 0.8 1.0

0.6

0.8

1.0

1.2

1.4

x

1

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0.3

0.5

0.7

0.9

S

eries1

0.0

0.2

0.4

0.6

1 2 3 4 5

Series2

Time

ts(matrix(runif(10), ncol = 2))

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Time

0 50 100 150

20

0

20

40

60

Time

0 50 100 150

20

0

20

40

60

80

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0.00 0.02 0.04

0.6

0.8

1.0

1.2

1.4

x2

1

1

1:2

matrix(1

:4,2)

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Histogram of .leap.seconds

.leap.seconds

Density

0.0e+00

2.0e

10

4.0e10

6.0e10

8.0e10

1.0e091.2e09

1969 1982 1995 2008 4.5 5.5 6.5 7.5

setosa

versicolor

virginica

Sepal

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1.90 2.00 2.10

3.0

3

.2

3.4

3.6

3.8

4.0

stepfun(2, 3:4)

x

f(x)

5 10 15 20

0.2

0.1

0.0

0.1

0.2

Lag

Pa

rtialACF

Series z

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5 10 15 20

0.2

0.1

0.0

0

.1

0.2

Lag

PartialACF

Series matrix(rnorm(100), , 1)

18, cv = TRUE, control.spar = list(trace = TRUE, tol = 1e06, low = 3, maxit = 20))

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Standardized Residuals

Time

0 10 20 30 40

1

0

1

2

0 5 10 15

0.2

0.2

0.6

1.0

Lag

ACF

ACF of Residuals

2 4 6 8 10

0.0

0.4

0.8

p values for LjungBox statistic

lag

pvalue

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Standardized Residuals

Time

0 10 20 30 40

1

0

1

2

0 5 10 15

0.2

0.2

0.6

1.0

Lag

ACF

ACF of Residuals

2 4 6 8 10

0.0

0.4

0.8

p values for LjungBox statistic

lag

pvalue

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0.6 0.8 1.0 1.2 1.4

0.6

0.8

1.0

1.2

1.4

Index

1

2 4 6 8 10 12

0

5

10

15

20

25

30

weight

depression

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2 4 6 8 10 12

0

5

10

15

20

25

30

weight

depression

2 4 6 8 10

2

4

6

8

10

Index

1:10

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1e299 1e181 1e63

1e307

1e247

1e1

87

1e127

1e67

x^0.9

x

1.0 1.5 2.0 2.5 3.0

20

10

5

2

1

x

exp(x)

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0 20 40 60 80 100

100

50

2

0

10

Index

1:100

0.0 0.2 0.4 0.6 0.8 1.0

0.0

0.

2

0.4

0.6

0.8

1.0

0:1

0:1

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0 1 2 3 4 5 6

3

2

1

0

1

2

Predicted values

R

esiduals

Residuals vs Fitted

25

2

12

2 1 0 1 2

3

2

1

0

1

2

3

Theoretical Quantiles

Std.d

evianceresid.

Normal QQ

25

44

2

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0 1 2 3 4 5 6

0.0

0.5

1.0

1.5

Predicted values

Std.d

evianceresid.

ScaleLocation

25

44

2

0.0 0.2 0.4 0.6

3

2

1

0

1

2

3

Leverage

Std.P

earsonresid.

Cook's distance1

0.5

0.5

1

Residuals vs Leverage

44

20

25

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0.0

0.1

0.2

0.3

0.4

Leverage hii

Coo

k'sdistance

0 0.4 0.6

0

0.511.522.53

Cook's dist vs Leverage hii (1 hii)

44

20

25

0.0 0.2 0.4 0.6

3

2

1

0

1

2

3

Leverage

Std.P

earsonresid.

Cook's distance1

0.5

0.5

1

Residuals vs Leverage

44

20

25

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0.0

0.1

0.2

0.3

0.4

Leverage hii

Coo

k'sdistance

0 0.4 0.6

0

0.511.522.53

Cook's dist vs Leverage hii (1 hii)

44

20

25

0 1 2 3 4 5 6

3

2

1

0

1

2

Predicted values

R

esiduals

25

2

12

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2 1 0 1 2

3

2

1

0

1

2

3

Theoretical Quantiles

Std.d

evianceresid.

25

44

2

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60 62 64 66 68 70

0.4

0.2

0.0

0.2

0.4

Fitted values

R

esiduals

lm(Employed ~ . Population GNP.deflator)

Residuals vs Fitted

1956

1950

1951

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2 1 0 1 2

1

0

1

2

Theoretical Quantiles

Standa

rdizedresiduals

lm(Employed ~ . Population GNP.deflator)

Normal QQ

1956

1951

1950

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60 62 64 66 68 70

0.0

0.2

0.4

0.

6

0.8

1.0

1.2

1.4

Fitted values

Standa

rdizedresiduals

lm(Employed ~ . Population GNP.deflator)

ScaleLocation

1956

19511950

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5 10 15

0.0

0.1

0.2

0.3

0.4

0.5

Obs. number

Coo

k'sdistance

lm(Employed ~ . Population GNP.deflator)

Cook's distance

1951

1956

1962

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0.0 0.1 0.2 0.3 0.4

2

1

0

1

2

Leverage

Standa

rdizedresiduals

lm(Employed ~ . Population GNP.deflator)

Cook's distance

0.5

0.5

1

Residuals vs Leverage

1951

1956

1962

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0.0

0.1

0.2

0.3

0.4

Leverage hii

Coo

k'sdistance

0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45

lm(Employed ~ . Population GNP.deflator)

0

0.5

11.52

Cook's dist vs Leverage hii (1 hii)

1951

1956

1962

Residuals vs Fitted Normal QQ

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0.20 0.25 0.30 0.35

5

0

5

Fitted values

Residuals

132

10

144

3 2 1 0 1 2 3

4

2

0

2

4

Theoretical Quantiles

Standardizedresiduals

132

10

144

0.20 0.25 0.30 0.35

0.0

0.5

1.0

1.5

2.0

Fitted values

Standardizedresiduals

ScaleLocation13210

144

foofoofoofoofoo

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1.0 1.2 1.4 1.6 1.8 2.0

1.0

1.2

1.4

1.6

1.8

2.0

Index

1:2

x & y

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15 10 5 0 5 10 15

0.2

0.1

0.0

0.1

0.2

Lag

ACF

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1 2 3 4 5 6

0.0

0.5

1.0

1.5

p

pp p p p

l

b

b

bb b b

o

o

o

o o o

h

s

S

1:3 & (1:3)

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1.0 0.5 0.0 0.5 1.0

1.0

0.5

0.0

0.5

1.0

Lag

ACF

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CONT

DMNR

INTG

PHYS

DECI

CFMG

DILG

FAMI

PREP

RTEN

WRIT

ORAL

ORAL

WRIT

RTEN

PREP

FAMI

DILG

CFMG

DECI

PHYS

INTG

DMNR

CONT

x

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1.1 1.2

2.1

2.2